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What is Deep Learning for Tomato Disease Detection about?

The study presents a deep learning approach using Convolutional Neural Networks (CNN) to classify tomato diseases from leaf images, achieving an accuracy of 99.18% with a dataset of 14,828 images across nine diseases. This method automates feature extraction and symptom visualization, providing a practical tool for farmers to detect and manage tomato diseases effectively. The results demonstrate significant improvements over traditional machine learning classifiers that rely on small datasets and hand-craft

Author

srishtisrishti0811

Language

EN